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project Can AI interpret graphs like a human materials scientist that relates diagrams to composition temperature, pressure, synthesis, processing and uncertainty? The PhD candidate will develop and
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monitoring, validating, and continuously improving deployed models while addressing challenges such as data quality, uncertainty, and changing operating conditions. Where to apply Website https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
accuracy, communicate uncertainty and limitations, prepare written research products, brief stakeholders, and identify emerging economic issues that warrant additional county-level analysis. The Research
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language, vision, biomedical knowledge, clinical context, and relevant patient-level data to produce reliable, auditable, and uncertainty-aware outputs. A major focus of the position is the development of AI
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Biophysical and Biomedical Measurement Group, National Institute of Standards and Technology | Gaithersburg, Maryland | United States | about 2 months ago
uncertainty. What you will do: - Design, assemble, and characterize DNA origami nanostructures that undergo controlled conformational changes upon target binding and/or applied electrostatic bias. - Develop and
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teachers who embrace diversity, change and uncertainty, who ask and seek to address critical questions about education and schooling, and who engage critically in inquiry-based practitioner research
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because they enable learners to monitor their own understanding, recognize uncertainty, detect errors, and regulate their behavior accordingly. The PhD project will examine how metacognitive monitoring and
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healthy populations and controlled environments, with a strong focus on classification accuracy rather than clinical applicability, uncertainty estimation, and behavioral interpretability. This PhD project
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-dimensional data. Develop modular methods that incorporate domain-specific information into latent-variable models. Investigate methodological questions related to computation, identifiability, uncertainty
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, quantify uncertainty, and enable real-time decision-making. The project will explore hybrid AI architectures, weather-integrated forecasting systems, and edge-deployable intelligent models. The goal is to